Empirical equation of sulphate reducing bacteria (SRB) corrosion based on abiotic chemistry approach

Fatah, Martin Choirul; Ismail, Mokhtar Che; Wahjoedi, Bambang Ari

doi:10.1108/acmm-jun-2012-1183

Cited by 11 publications

(5 citation statements)

References 17 publications

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“…Kannan et al (2020) developed a model to assess susceptibility to MIC. Fatah et al (2013) developed an empirical equation of SRB corrosion based on the metabolic species. Then Fatah et al (2019) used the equation to predict the depth of pitting corrosion caused by SRB.…”

Section: Introductionmentioning

confidence: 99%

Modification of D-W model for corrosion rate of shale gas pipeline under the synergistic corrosion of SRB and CO₂

Peng

2021

ACMM

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Purpose The purpose of this paper is to develop an equation for the synergistic corrosion of SRB and CO2 based on the D-W model. Design/methodology/approach The bacterial types in the a and ß pipelines were studied by the most probable number method, and the corrosion morphology of L360 in pipeline water samples was studied by surface analysis. The corrosion rate of L360 was studied using the weight loss method. The gray correlation method was used to calculate the degree of correlation between the influencing factors of corrosion under the synergistic effect of CO2 and SRB. The curve obtained from PIPESIM software and experiments data was then fitted using multiple non-linear regression method by MATLAB software. Findings The equation was used to predict the corrosion of the ß pipeline for verification, and it was found that seven out of ten excavation sites were within a 20% error range. Originality/value Using the gray correlation method, an equation that considers synergistic corrosion of SRB and CO2 has been developed based on the D-W model. The equation could be used to predict the corrosion rate of shale gas gathering pipelines through SRB and CO2 synergistic corrosion.

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Section: Introductionmentioning

confidence: 99%

Modification of D-W model for corrosion rate of shale gas pipeline under the synergistic corrosion of SRB and CO₂

Peng

2021

ACMM

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“…Fatah et al [13] also develop an empirical equation to predict SRB corrosion based on the effect of SRB metabolic products using abiotic chemistry approach. The curve obtained from LPR data were then fitted by using multiple non-linear regression model.…”

Section: Introductionmentioning

confidence: 99%

Pitting Depth Prediction Caused by SRB using Empirical Equation

Fatah

Ismail

Wahjoedi³

et al. 2019

JRM

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Microbiologically influenced corrosion (MIC) is a serious problem in the oil and gas industry. The most common microorganism responsible for MIC is sulfate-reducing bacteria (SRB) which produces detrimental sulfide ions into the environment. Currently, there are some prediction models that develop to predict corrosion rate caused by SRB. However, among the models, the prediction is limited to predict the general corrosion rate, whereas, SRB caused localized corrosion. Thus, the objective of this work is to predict the pitting depth caused by SRB using available empirical equation. The study showed that the pitting depth increased with the increasing of sulfide concentration. In contrast, the pitting depth decreased with increasing sulfite concentration. The decreasing of pitting depth is related to the inhibitive FeS film formed, while the increasing of pitting depth is caused by the decreasing of the film thickness in the presence of sulfite.

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“…Microbiologically influenced corrosion (MIC) is a complicated electrochemical process in which the corrosion of material is initiated or accelerated by microorganisms without changing its electrochemical nature (Fatah et al , 2013; San et al , 2014). Sulfate-reducing bacteria (SRB) which can induce dissimilatory reduction of sulfate to corrosive sulfide (Zhou et al , 2009; Anandkumar et al , 2012) are considered as the major role in MIC.…”

Section: Introductionmentioning

confidence: 99%

Inhibition effect of Bdellovibrio bacteriovorus on the corrosion of X70 pipeline steel induced by sulfate-reducing bacteria

Qiu

Mao

Gong

et al. 2016

ACMM

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Purpose Bdellovibrio bacteriovorus is a gram-negative predatory bacterium which can potentially inhibit microbiologically influenced corrosion by preying on sulfate-reducing bacteria (SRB). However, no researches about the inhibition are reported according to the authors’ knowledge. The purpose of this paper was to investigate the Inhibition effect of B. bacteriovorus on the corrosion of X70 pipeline steel induced by SRB. Design/methodology/approach The effect of B. bacteriovorus on the growth of SRB was studied by measuring the optical density at 600 nm (OD600) and sulfate concentration in culture medium. X70 pipeline steel was used as the test material to investigate the anti-corrosion effect of B. bacteriovorus on SRB by conducting electrochemical analysis (including Tafel polarization curves and electrochemical impendence spectroscopy) and weight loss measurement. Findings B. bacteriovorus could inhibit the growth of SRB in culture medium by its predation on SRB, which led to decrease of OD600 value and increase of sulfate concentration. The results of electrochemical analysis indicated that B. bacteriovorus had positive inhibition efficiencies on SRB-induced corrosion of X70 pipeline steel. Moreover, corrosion rate of X70 pipeline steel was declined from 19.17 to 3.75 mg·dm-2·day-1 by the presence of B. bacteriovorus. Originality/value This is the first report about using B. bacteriovorus to inhibit the corrosion induced by SRB. Compared to other anti-corrosion methods, the microbial inhibition methods exhibit more considerable application value due to its low cost, high efficiency and non-pollution.

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Empirical equation of sulphate reducing bacteria (SRB) corrosion based on abiotic chemistry approach

Cited by 11 publications

References 17 publications

Modification of D-W model for corrosion rate of shale gas pipeline under the synergistic corrosion of SRB and CO₂

Modification of D-W model for corrosion rate of shale gas pipeline under the synergistic corrosion of SRB and CO₂

Pitting Depth Prediction Caused by SRB using Empirical Equation

Inhibition effect of Bdellovibrio bacteriovorus on the corrosion of X70 pipeline steel induced by sulfate-reducing bacteria

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Empirical equation of sulphate reducing bacteria (SRB) corrosion based on abiotic chemistry approach

Cited by 11 publications

References 17 publications

Modification of D-W model for corrosion rate of shale gas pipeline under the synergistic corrosion of SRB and CO2

Modification of D-W model for corrosion rate of shale gas pipeline under the synergistic corrosion of SRB and CO2

Pitting Depth Prediction Caused by SRB using Empirical Equation

Inhibition effect of Bdellovibrio bacteriovorus on the corrosion of X70 pipeline steel induced by sulfate-reducing bacteria

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Modification of D-W model for corrosion rate of shale gas pipeline under the synergistic corrosion of SRB and CO₂

Modification of D-W model for corrosion rate of shale gas pipeline under the synergistic corrosion of SRB and CO₂